splineTimeR
Time-course differential gene expression data analysis using spline regression models followed by gene association network reconstruction
Bioconductor version: 3.24 · Package version: 1.41.0
This package provides functions for differential gene expression analysis of gene expression time-course data. Natural cubic spline regression models are used. Identified genes may further be used for pathway enrichment analysis and/or the reconstruction of time dependent gene regulatory association networks.
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("splineTimeR") Details
| Maintainer | Herbert Braselmann <hbraselmann@online.de>, Martin Selmansberger <martin.selmansberger@helmholtz-muenchen.de> |
| Author | Agata Michna |
| License | GPL-3 |
| Downloads rank | 508 |
| Source branch | devel |
| biocViews | DifferentialExpression, GeneExpression, GeneSetEnrichment, GraphAndNetwork, NetworkEnrichment, NetworkInference, Regression, Software, TimeCourse |
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | splineTimeR_1.41.0.tar.gz |
| Windows binary (x86_64) | splineTimeR_1.41.0.zip |
| macOS binary (arm64) | splineTimeR_1.41.0.tgz |
| macOS binary (x86_64) | splineTimeR_1.41.0.tgz |
Dependencies
Depends: R (>= 3.3), Biobase, igraph, limma, GSEABase, gtools, splines, GeneNet (>= 1.2.13), longitudinal (>= 1.1.12), FIs
Suggests: knitr